Computer Science & Information Technology
Data Science Degree
Master the language of programming and data analytics with our bachelor’s in data science.
OFFERED AS:
Major, Minor
FORMAT:
In-Person
CREDITS REQUIRED:
Major (120), Minor (21)
Looking for one of the best universities for data science in Pennsylvania? The data science degree from Kutztown University is the first step toward a high-paying career in data science.
Our data scientist major is perfect for analytical thinkers like you who are interested in learning the basics of computer programming and mathematics.
Ready to become a data scientist?
Why Choose KU for a Data Science Degree
Whether you’re a high school student, a community college transfer or an ambitious career switcher, we welcome you to the data scientist major at Kutztown University.
Here at KU, the bachelor’s in data science gives you three specialization areas to choose from: biology, geography and mathematics. By choosing one of these specific fields, you will be trained and ready to pursue a successful career in data science.
Beyond our hands-on courses and career preparation, here are top reasons why students choose KU:
- Affordability = less debt
- Diversity = more comfortability
- Campus beauty = more enjoyability
Meet student Reiley Walther who is pursuing a master's degree in computer science and is expected to graduate in winter of 2024.
What You Will Learn as a Data Scientist major
Wondering what type of hands-on experience you’ll get as a data scientist major at KU? Keep reading.
- Become fluent in Python and R programming language
- Learn how to use a data analysis software tool called WEKA
- Gain mathematics skills in statistics and regression analysis
- Apply your foundational knowledge of data science to your specialization area
- Learn scientific methods, such as bioinformatics, geospatial information and general data science
- Get on-the-job experience through a paid internship or research project
Student Learning Outcomes
I have found that much of the information I have attained in my Data Science courses has been equally helpful to me in both industrial and academic contexts. Between my current work as a Graduate Assistant and my past internships, I have no doubt that my skills from the program are ubiquitously applicable to whichever career path I choose to pursue.
Patrick Perrin '24, M'25, Graduate Assistant, Computer Science